---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-multiprompt-v2-fp
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilgpt2-multiprompt-v2-fp

This model is a fine-tuned version of [pszemraj/distilgpt2-multiprompt-v1](https://huggingface.co/pszemraj/distilgpt2-multiprompt-v1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0213

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0006
- train_batch_size: 16
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 2.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1637        | 1.0   | 965  | 2.0581          |
| 2.0885        | 2.0   | 1930 | 2.0213          |


### Framework versions

- Transformers 4.25.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.6.1
- Tokenizers 0.13.1